Markdown source

MCP Tasks (async)/ Why the heck aren't any agents supporting MCP tasks/async?

Conference Context

Session Description

The November 2025 MCP spec release introduced tasks, a way to make tool calls in an async manner. But more than 5 months later (an eternity in AI-time) there are still NO clients that support it - not Claude, not Codex, not even goose! I believe there are two reasons: Designing the client experience when there are potentially 1000s of background tasks running on their own schedule and engaging humans at unpredictable times is a challenge. And tasks place new infrastructure requirements on such a client. This talk will share the findings from having built against the tasks protocol and will suggest solutions these problems. Yup, we'll have a working client!

Media Evidence

OpenAI + @Temporalio : Building Durable, Production Ready Agents - Cornelia Davis, Temporal (speaker-match related prior/adjacent AI Engineer video; captions: English auto-captions).

Evidence Graph

This evidence graph is generated from currently linked source material: official schedule text, related video pages, cached transcripts, visible slide text, dense/reconstructed slide pages, and AI slide-classification audits.

Media Signals

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Transcript Status

Related video transcript availability: English auto-captions. Treat this as supporting context, not a recording of this exact scheduled session unless later confirmed. Not fetched yet.

People

Supporting Slides

Slide Evidence

Synthesis

Synthesized Breakdown

MCP Tasks (async)/ Why the heck aren't any agents supporting MCP tasks/async? ## Conference Context - Date/time: 2026-06-30 · 3:20pm-3:40pm - Track/room: Context Engineering · Track 8 - Speaker(s): Cornelia Davis - Session type/status: session · confirmed - Track: Context Engineering - Room: Track 8 - Session type: session - Status: confirmed ## Session Description The November 2025 MCP spec release introduced tasks, a way to make tool calls in an async manner. But more than 5 months later (an eternity in AI-time) there are still NO clients that support it - not Claude, not Codex, not even goose! I believe there are two reasons: Designing the client experience when there are potentially 1000s of background tasks running on their own schedule and engaging humans at unpredictable times is a challenge.

Speaker And Company Context

Topics Covered

Derived Links And Source Material

Novel Concepts / Clever Methods

Evidence Boundary

This synthesis is based on the official schedule and linked source pages. It should be revisited when exact session recordings or transcript-backed secondary sources are available.